{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T13:47:08Z","timestamp":1777556828557,"version":"3.51.4"},"reference-count":40,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2022,7,5]],"date-time":"2022-07-05T00:00:00Z","timestamp":1656979200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["J Diabetes Sci Technol"],"published-print":{"date-parts":[[2024,3]]},"abstract":"<jats:sec>\n                    <jats:title>Introduction:<\/jats:title>\n                    <jats:p>Finding a goal of time in range (%TIR) that defines good glycemic control is necessary. Previous retrospective studies suggest good concordance between HbA1c \u22647% with a TIR &gt;70%; however, the studies that included the largest number of patients used blood glucose measurement data with a follow-up time of less than 90 days. This study defined the TIR value that best discriminates HbA1c \u22647%.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>We performed a prospective study of diagnostic tests based on a cohort of patients with type 1 diabetes (T1D) treated with a hybrid closed loop (HCL) followed for three months. The ability of %TIR to distinguish patients with HbA1c \u22647% was evaluated through receiver operating characteristic curve analysis. We determined the %TIR cutoff point with the best operating characteristics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>A total of 118 patients were included (58.1% women, 47% overweight or obese, and 33% with high glycemic variability). A moderate negative correlation ( R = \u2212.54, P &lt; .001) was found between %TIR and HbA1c. The discrimination ability was moderate, with an area under the curve of 0.7485 (95% confidence interval = 0.6608-0.8363). The cutoff point that best predicted HbA1c \u22647% was %TIR \u226575.5 (sensitivity 70%, specificity 67%). The findings were similar among those with a coefficient of variation (CV%) \u226536%.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>Our data suggest that the %TIR adequately identifies patients with HbA1c \u22647%. A target of TIR \u226575%, rather than the currently recommended TIR \u226570%, may be a more suitable value for optimal glycemic control.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/19322968221108424","type":"journal-article","created":{"date-parts":[[2022,7,6]],"date-time":"2022-07-06T01:46:26Z","timestamp":1657071986000},"page":"345-350","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["Determination of Time in Range Associated With HbA1c \u22647% in a Prospective Cohort of Patients With Type 1 Diabetes Using Continuous Glucose Monitoring for Three Months"],"prefix":"10.1177","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5273-7018","authenticated-orcid":false,"given":"Ana Mar\u00eda","family":"G\u00f3mez","sequence":"first","affiliation":[{"name":"Endocrinology Unit, Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Bogot\u00e1, Colombia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diana Cristina","family":"Henao C","sequence":"additional","affiliation":[{"name":"Endocrinology Unit, Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Bogot\u00e1, Colombia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mart\u00edn","family":"Rebolledo","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Bogot\u00e1, Colombia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pablo Esteban","family":"Jaramillo P","sequence":"additional","affiliation":[{"name":"Endocrinology Unit, Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Bogot\u00e1, Colombia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5401-0018","authenticated-orcid":false,"given":"Oscar Mauricio","family":"Mu\u00f1oz V","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Bogot\u00e1, Colombia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laura Mar\u00eda","family":"Ni\u00f1o G","sequence":"additional","affiliation":[{"name":"Pontificia Universidad Javeriana, Bogot\u00e1, Colombia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carlos Augusto","family":"Yepes C","sequence":"additional","affiliation":[{"name":"Endocrinology Unit, Hospital Universitario San Ignacio, Pontificia Universidad Javeriana, Bogot\u00e1, Colombia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2022,7,5]]},"reference":[{"key":"bibr1-19322968221108424","doi-asserted-by":"publisher","DOI":"10.1056\/NEJM199309303291401"},{"key":"bibr2-19322968221108424","doi-asserted-by":"publisher","DOI":"10.2337\/db14-0930"},{"key":"bibr3-19322968221108424","doi-asserted-by":"publisher","DOI":"10.1056\/NEJM200002103420603"},{"key":"bibr4-19322968221108424","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa052187"},{"key":"bibr5-19322968221108424","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(98)07037-8"},{"key":"bibr6-19322968221108424","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(98)07019-6"},{"key":"bibr7-19322968221108424","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa0808431"},{"key":"bibr8-19322968221108424","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa0802987"},{"key":"bibr9-19322968221108424","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(10)60576-4"},{"key":"bibr10-19322968221108424","first-page":"CD008143","volume":"11","author":"Hemmingsen B","year":"2013","journal-title":"Cochrane Database Syst Rev"},{"key":"bibr11-19322968221108424","unstructured":"Bailey RA, Blonde L, Damaraju CV, et al. Opportunities for improving attainment of quality measures in patients with type 2 diabetes mellitus. Am J Manag Care. 2014;20(suppl 1):s16\u2013s24.https:\/\/www.ajmc.com\/view\/a481_jan14_t2dm_faculty_s2. Accessed June 20, 2022."},{"key":"bibr12-19322968221108424","doi-asserted-by":"publisher","DOI":"10.2337\/dc10-0843"},{"key":"bibr13-19322968221108424","doi-asserted-by":"publisher","DOI":"10.2337\/dc21-S006"},{"key":"bibr14-19322968221108424","doi-asserted-by":"publisher","DOI":"10.2337\/dc17-1600"},{"key":"bibr15-19322968221108424","doi-asserted-by":"publisher","DOI":"10.2337\/dc17-0636"},{"key":"bibr16-19322968221108424","doi-asserted-by":"publisher","DOI":"10.2337\/dc10-0917"},{"key":"bibr17-19322968221108424","unstructured":"National Glycohemoglobin Standardization Program. HbA1c assay interferences. http:\/\/www.ngsp.org\/interf.asp. Published 2019. 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Derived time in range is associated with MACE in type 2 diabetes: data from the DEVOTE trial. European Association for the Study of Diabetes. https:\/\/www.easd.org\/virtualmeeting\/home.html#!resources\/derived-time-in-range-is-associated-with-mace-in-type-2-diabetes-data-from-the-devote-trial. Published 2020. 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